Publications by Hamidreza Karami

An experimental proof of concept of time‐reversal single‐sensor acoustic source localisation: Application to partial discharges

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami, Zhaoyang Wang

In this paper, for the first time, an experimental proof of concept for utilising time reversal (TR) in the acoustic regime to localise partial discharge (PD) sources was presented using a single sensor. To achieve this, an experimental setup comprising a ...

Institution of Engineering and Technology (IET)2025

Partial discharge localization in power transformer tanks using machine learning methods

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami

This paper presents a comparison of machine learning (ML) methods used for three-dimensional localization of partial discharges (PD) in a power transformer tank. The study examines ML and deep learning (DL) methods, ranging from support vector machines (SV ...

Nature Publishing Group2024

High Resolution Time-Reversal Imaging: A Comparison between Time-Reversal MUSIC and DORT

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami

2024

Spatiotemporal energy‐density distribution of time‐reversed electromagnetic fields

Farhad Rachidi-Haeri, Marcos Rubinstein, Nicolas Mora Parra, Hamidreza Karami, Elias Per Joachim Le Boudec

Time reversal exploits the invariance of electromagnetic wave propagation in reciprocal and lossless media to localize radiating sources. Time-reversed measurements are back-propagated in a simulated domain and converge to the unknown source location. The ...

2024

Landmine Detection Using Electromagnetic Time Reversal-Based Methods: 1. Classical TR, Iterative TR, DORT and TR-MUSIC

Farhad Rachidi-Haeri, Marcos Rubinstein, Carlos Alberto Romero Romero, Hamidreza Karami

In this paper, we present a review and classification of the published works on the use of Electromagnetic Time Reversal (EMTR)-based methods to locate landmines. Different approaches for landmine localization using EMTR are investigated. Specifically, the ...

American Geophysical Union (AGU)2024

An Efficient Machine Learning Model for Lightning Localization via Lightning-Induced Voltages on Transmission Lines

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami

In this paper, three machine learning (ML)-based approaches—XGBoost, Artificial Neural Network (ANN), and Random Forest algorithms—are compared for the localization of lightning through the analysis of lightninginduced voltages on power transmission lines. ...

URSI – International Union of Radio Science2024

Landmine Detection Using Electromagnetic Time Reversal‐Based Methods: 2. Performance Analysis of TR‐MUSIC

Farhad Rachidi-Haeri, Marcos Rubinstein, Carlos Alberto Romero Romero, Hamidreza Karami

In this paper, a series of numerical simulations are conducted for various 2D and 3D configurations to demonstrate the performance of the Time Reversal MUltiple SIgnal Classification (TR‐MUSIC) method. The results reveal the excellent performance of TR‐MUS ...

American Geophysical Union (AGU)2024

Rigorous Assessment of Natural Frequencies of Fault-Originated Travelling Waves

Pier Luigi Dragotti, Mario Paolone, Hamidreza Karami, Zhaoyang Wang

This paper presents a rigorous assessment of natural frequencies associated with fault-originated travelling waves in power networks, factoring in the presence of multiple junctions and branches. The proposed assessment exploits the Baum-Liu-Tesche (BLT) e ...

2024

Lightning Localization Using Three-Dimensional Time Reversal MUltiple SIgnal Classification (TR-MUSIC) Algorithm

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami

In this paper a three-dimensional (3D) Time Reversal MUltiple SIgnal Classification (TR-MUSIC) algorithm is proposed to localize lightning discharges. The performance of the proposed algorithm was evaluated considering different scenarios and taking into a ...

2023

On the Efficiency of MW-FDTD Methods Based on Parallel Computing Using OpenMP, OpenACC, and CUDA Python: Application to Lightning Electromagnetic Fields

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami

2023

Assessment of the Feasibility of Applying the Electromagnetic Time Reversal Theory to Locate Defects in Grounding Electrodes

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami, Rafael Silva Alipio

In recent years, the electromagnetic time reversal (EMTR) theory has been successfully applied for locating various sources of disturbances, such as short-circuit faults, in power systems. In this paper, a theoretical analysis of the feasibility of applyin ...

2023

On the Use the Electromagnetic Time Reversal Theory to Locate Breakpoints in Grounding Electrodes

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami, Rafael Silva Alipio

2023

An Inverse-Filter-Based Method to Locate Partial Discharge Sources in Power Transformers

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami

Partial discharge (PD) occurrence in power transformers can lead to irreparable damage to the power network. In this paper, the inverse filter (IF) method to localize PDs in power transformers is proposed. To the best of the authors’ knowledge, this is the ...

2022

Partial discharge localization using time reversal: Application to gas insulated switchgear

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami

Gas-insulated switchgear (GIS) are some of the most reliable and most expensive equipment that are nowadays used in power systems. Condition monitoring of the power system equipment can help operators detect defects like partial discharges (PDs) early, pre ...

Elsevier2022

Landmine Detection Using Electromagnetic Time Reversal Based Methods

Farhad Rachidi-Haeri, Marcos Rubinstein, Carlos Alberto Romero Romero, Hamidreza Karami

2022

An Efficient Computer Code for the Analysis of Grounding Systems Using the Method of Moments

Farhad Rachidi-Haeri, Marcos Rubinstein, Carlos Alberto Romero Romero, Hamidreza Karami

2022

EMC Impact of Disturbances Generated by Multiple Sources

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami

In this paper, the impact of an increasing number of arbitrary electrical/electronic devices on the overall radiated emissions is investigated. Understanding and quantifying such an impact are prerequisites to the proper evaluation of electromagnetic compa ...

2022

A Compressive Sensing Framework for EMI Source Localization Using a Metalens Structure: Localization Beyond the Diffraction Limit

Farhad Rachidi-Haeri, Marcos Rubinstein, Mohammad Azadifar, Hamidreza Karami

In this article, we propose a novel approach for the localization of electromagnetic interference (EMI) sources based on the concept of compressive sensing and metalenses. We show that using the spatial and frequency dispersion offered by the metalens, we ...

2022

A Time-Reversal Cavity for Electromagnetic Waves in Transmission Line Networks with Arbitrary Topology

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami, Zhaoyang Wang, Elias Per Joachim Le Boudec

2022

A Frequency-Domain Analysis of a Time-Reversal Cavity for Electromagnetic Waves in Transmission Line Networks

Farhad Rachidi-Haeri, Hamidreza Karami, Zhaoyang Wang, Elias Per Joachim Le Boudec

Recently, a closed time-reversal cavity for electromagnetic waves was demonstrated and experimentally realized using a network of transmission lines. This paper presents an analysis in the frequency domain of the wave propagation characteristics that perta ...

IEEE2022